Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Google

Gemini 2.5 Flash-Lite

Google

Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

OpenAI

GPT-5 mini

OpenAI

GPT-5 mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 60.0% across 5 benchmarks. It excels particularly in AIME 2025 (91.1%), HMMT 2025 (87.8%), GPQA (82.3%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Google

Gemini 2.5 Flash-Lite

Google

2025-06-17

OpenAI

GPT-5 mini

OpenAI

2025-08-07

1 month newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.5 Flash-Lite

$1.75 cheaper
Input:$0.10
Output:$0.40
OpenAI

GPT-5 mini

Input:$0.25
Output:$2.00

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Flash-Lite

Larger context
Max Context:1.1M
OpenAI

GPT-5 mini

Max Context:528.0K

Average performance across 3 common benchmarks

Google

Gemini 2.5 Flash-Lite

Average Score:39.8%
OpenAI

GPT-5 mini

+23.5%
Average Score:63.4%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Flash-Lite

general
35.8%
OpenAI

GPT-5 mini

general
+33.7%
69.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-5 mini

2024-05-30

Gemini 2.5 Flash-Lite

2025-01-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 2.5 Flash-Lite

1 providers

Google

Throughput: 5.69 tok/s
Latency: 0.44ms
OpenAI

GPT-5 mini

2 providers

ZeroEval

Throughput: 200 tok/s
Latency: 1ms

OpenAI

Throughput: 200 tok/s
Latency: 1ms
Google

Gemini 2.5 Flash-Lite

Avg Score:39.8%
Providers:1
OpenAI

GPT-5 mini

+23.5%
Avg Score:63.4%
Providers:2